Computer Science – Neural and Evolutionary Computing
Scientific paper
2008-03-20
Journal of Heuristics, 8(5), pp 503-514, 2002
Computer Science
Neural and Evolutionary Computing
Scientific paper
10.1023/A:1016536623961,
During our earlier research, it was recognised that in order to be successful with an indirect genetic algorithm approach using a decoder, the decoder has to strike a balance between being an optimiser in its own right and finding feasible solutions. Previously this balance was achieved manually. Here we extend this by presenting an automated approach where the genetic algorithm itself, simultaneously to solving the problem, sets weights to balance the components out. Subsequently we were able to solve a complex and non-linear scheduling problem better than with a standard direct genetic algorithm implementation.
Aickelin Uwe
Dowsland Kathryn
No associations
LandOfFree
Enhanced Direct and Indirect Genetic Algorithm Approaches for a Mall Layout and Tenant Selection Problem does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Enhanced Direct and Indirect Genetic Algorithm Approaches for a Mall Layout and Tenant Selection Problem, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Enhanced Direct and Indirect Genetic Algorithm Approaches for a Mall Layout and Tenant Selection Problem will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-577811